Excel
Project
PowerBI
Projects
Me
I’m an aspiring Data Analyst with hands-on experience analyzing data and deriving insights using Excel, Power BI, SQL, and Python. I hold a bachelor’s degree in Digital Marketing and a master’s degree in Marketing and Data Analytics, which helped me build a strong understanding of both business strategy and data-driven decision-making.
Over time, I realized that my natural strengths lie in data analysis—working with data, identifying trends, and converting raw information into meaningful insights. While I haven’t yet worked in a full-time organizational role, I’ve completed several real-world business and analytics projects that demonstrate my practical skills and analytical thinking.
Through these projects, I’ve worked on data cleaning, KPI analysis, trend evaluation, and dashboard creation. I’m now seeking an opportunity where I can apply my skills, continue learning, and contribute to data-driven outcomes.
Skills
Excel
Microsoft Power BI
SQL
Python
Data Analysis
Data Visualization
Exploratory Data Analysis (EDA)
KPI Analysis
Business Analytics
Power BI Desktop
DAX (Basics)
Data Modeling
Excel Lookups (VLOOKUP, XLOOKUP)
Trend Analysis
Variance Analysis
Business Metrics
Projects
Domain/Function: Business Analytics
This project involved analyzing customer and marketing performance data in Excel to understand trends and performance gaps. By cleaning data and using pivot-based analysis, I created structured reports that highlight actionable insights for business decision-making.
Domain/Function: Business & Operations Analytics
This project analyzes QuickBite Express’s post-crisis business performance using Power BI. It tracks key KPIs, regional recovery trends, and revenue contribution to identify performance gaps and support data-driven recovery planning.
Domain/Function: Product Analytics & Market Research
This project analyzes air quality data to evaluate product–market fit for air purifiers. Using Power BI, I studied AQI trends, pollutant composition, and regional exposure patterns to identify high-demand regions and support data-driven product decisions.
Experience
Prepared structured Excel-based analytical reports covering 5+ regions to monitor sales and operational performance regularly. Performed target vs achievement analysis to identify regional trends, performance gaps, and growth opportunities across product categories. Analyzed monthly and quarterly performance metrics, highlighting deviations and areas requiring corrective action. Supported managers by summarizing insights using business KPIs and performance indicators to aid planning, forecasting, and operational decision-making. Collaborated with cross-functional teams to ensure data accuracy, consistency, and timely reporting.